{"title":"基于捕获三维运动数据的FMCW雷达手势检测预测与仿真","authors":"Christopher Williams, Changzhi Li","doi":"10.1109/RWS55624.2023.10046332","DOIUrl":null,"url":null,"abstract":"This paper presents a novel frequency modulated continuous wave (FMCW) radar response simulation method with a focus on human gesture detection. Through use of 3D motion captured by an infrared (IR) camera system and data processing, a realistic and computationally efficient simulation is produced. The gestures considered are a hand raise (up-down), right-left arm sweep, and push forward. The high efficiency in simulation is due to a simplified yet effective approach to radar cross section (RCS) calculation and radar-detected signal integration. This allows for the simulation to run smoothly while still resulting in realistic approximations of both range profile and doppler response of gestures. The simulated results are validated with experimental results detected by an Infineon 60-GHz radar.","PeriodicalId":110742,"journal":{"name":"2023 IEEE Radio and Wireless Symposium (RWS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prediction and Simulation of FMCW Radar Hand Gesture Detection based on Captured 3D Motion Data\",\"authors\":\"Christopher Williams, Changzhi Li\",\"doi\":\"10.1109/RWS55624.2023.10046332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel frequency modulated continuous wave (FMCW) radar response simulation method with a focus on human gesture detection. Through use of 3D motion captured by an infrared (IR) camera system and data processing, a realistic and computationally efficient simulation is produced. The gestures considered are a hand raise (up-down), right-left arm sweep, and push forward. The high efficiency in simulation is due to a simplified yet effective approach to radar cross section (RCS) calculation and radar-detected signal integration. This allows for the simulation to run smoothly while still resulting in realistic approximations of both range profile and doppler response of gestures. The simulated results are validated with experimental results detected by an Infineon 60-GHz radar.\",\"PeriodicalId\":110742,\"journal\":{\"name\":\"2023 IEEE Radio and Wireless Symposium (RWS)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Radio and Wireless Symposium (RWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RWS55624.2023.10046332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS55624.2023.10046332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction and Simulation of FMCW Radar Hand Gesture Detection based on Captured 3D Motion Data
This paper presents a novel frequency modulated continuous wave (FMCW) radar response simulation method with a focus on human gesture detection. Through use of 3D motion captured by an infrared (IR) camera system and data processing, a realistic and computationally efficient simulation is produced. The gestures considered are a hand raise (up-down), right-left arm sweep, and push forward. The high efficiency in simulation is due to a simplified yet effective approach to radar cross section (RCS) calculation and radar-detected signal integration. This allows for the simulation to run smoothly while still resulting in realistic approximations of both range profile and doppler response of gestures. The simulated results are validated with experimental results detected by an Infineon 60-GHz radar.
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